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Design and implementation of a scalable high-performance computing (HPC) cluster for omics data analysis:
Kais Ghedira1, Oussema Khamessi1,2, Chaima Hkimi1,2
1Laboratory of Bioinformatics, Biomathematics and Biostatistics, LR16IPT09, Institut Pasteur de Tunis, University of Tunis El Manar, Tunis 1002, Tunisia.
Background:
The advent of high-throughput technologies, including cutting-edge sequencing devices, has revolutionized biomedical data generation and processing. Nevertheless, big data applications require novel hardware and software for parallel computing and management to handle the ever-growing data size and analysis complexity. On-premise, high-performance computing (HPC) is increasingly used in biomedical research for big data stewardship.
Findings:
In this work, we present Tunisia's first high-performance computational infrastructure for omics research.
Method:
We highlight measurements and recommendations that may help institutions in other low- and middle-income countries that are eager to implement local HPC in facilities for bioinformatics research and omics data analyses.
